title: Contact potentials via wavelet transform for prediction of subcellular localizations in gram negative bacterial proteins.
abstract: Predicting the localization of a protein has become a useful practice for inferring its function. Most of the reported methods to predict subcellular localizations in Gram-negative bacterial proteins have shown a low false positive rate. However, some subcellular compartmens like "periplasm" and "extracellular medium" are difficult to predict and remain high false negative rates. In this paper, a method based on representation from statistical contact potentials and wavelet transform is presented. The wavelet-based method achieves an overall high performance holding low false and negative rates particularly on periplasm and extracellular medium. Results suggest the contact potentials as an useful alternative to characterize protein sequences.
authors.forename: G A
authors.initials: GA
authors.lastname: Arango-Argoty
authors.forename: J A
authors.initials: JA
authors.lastname: Jaramillo-Garzón
authors.forename: C G
authors.initials: CG
authors.lastname: Castellanos-Domínguez
mesh_terms: D000595:Amino Acid Sequence; D001426:Bacterial Proteins / Q000737:chemistry*; D006090:Gram-Negative Bacteria; D008390:Markov Chains; D058977:Molecular Sequence Annotation; D021381:Protein Transport; D020539:Sequence Analysis, Protein; D058067:Wavelet Analysis
chemical_list: D001426:Bacterial Proteins